The LOGISTIC Procedure
- Overview
- Getting Started
-
Syntax
PROC LOGISTIC StatementBY StatementCLASS StatementCODE StatementCONTRAST StatementEFFECT StatementEFFECTPLOT StatementESTIMATE StatementEXACT StatementEXACTOPTIONS StatementFREQ StatementID StatementLSMEANS StatementLSMESTIMATE StatementMODEL StatementNLOPTIONS StatementODDSRATIO StatementOUTPUT StatementROC StatementROCCONTRAST StatementSCORE StatementSLICE StatementSTORE StatementSTRATA StatementTEST StatementUNITS StatementWEIGHT Statement -
DetailsMissing ValuesResponse Level OrderingLink Functions and the Corresponding DistributionsDetermining Observations for Likelihood ContributionsIterative Algorithms for Model FittingConvergence CriteriaExistence of Maximum Likelihood EstimatesEffect-Selection MethodsModel Fitting InformationGeneralized Coefficient of DeterminationScore Statistics and TestsConfidence Intervals for ParametersOdds Ratio EstimationRank Correlation of Observed Responses and Predicted ProbabilitiesLinear Predictor, Predicted Probability, and Confidence LimitsClassification TableOverdispersionThe Hosmer-Lemeshow Goodness-of-Fit TestReceiver Operating Characteristic CurvesTesting Linear Hypotheses about the Regression CoefficientsRegression DiagnosticsScoring Data SetsConditional Logistic RegressionExact Conditional Logistic RegressionInput and Output Data SetsComputational ResourcesDisplayed OutputODS Table NamesODS Graphics
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ExamplesStepwise Logistic Regression and Predicted ValuesLogistic Modeling with Categorical PredictorsOrdinal Logistic RegressionNominal Response Data: Generalized Logits ModelStratified SamplingLogistic Regression DiagnosticsROC Curve, Customized Odds Ratios, Goodness-of-Fit Statistics, R-Square, and Confidence LimitsComparing Receiver Operating Characteristic CurvesGoodness-of-Fit Tests and SubpopulationsOverdispersionConditional Logistic Regression for Matched Pairs DataFirth’s Penalized Likelihood Compared with Other ApproachesComplementary Log-Log Model for Infection RatesComplementary Log-Log Model for Interval-Censored Survival TimesScoring Data SetsUsing the LSMEANS StatementPartial Proportional Odds Model
- References
The following statements are available in the LOGISTIC procedure:
PROC LOGISTIC
<options> ;
BY
variables ;
CLASS
variable <(options)> <variable <(options)> …> </ options> ;
CODE
<options> ;
CONTRAST
'label' effect values<, effect values, …> </ options> ;
EFFECT
name=effect-type(variables </ options>) ;
EFFECTPLOT
<plot-type <(plot-definition-options)>> </ options> ;
ESTIMATE
<'label'> estimate-specification </ options> ;
EXACT
<'label'> <INTERCEPT> <effects> </ options> ;
EXACTOPTIONS
options ;
FREQ
variable ;
ID
variables ;
LSMEANS
<model-effects> </ options> ;
LSMESTIMATE
model-effect lsmestimate-specification </ options> ;
<label:> MODEL
variable <(variable_options)> = <effects> </ options> ;
<label:> MODEL
events/trials = <effects> </ options> ;
NLOPTIONS
options ;
ODDSRATIO
<'label'> variable </ options> ;
OUTPUT
<OUT=SAS-data-set> <keyword=name <keyword=name …>> </ option> ;
ROC
<'label'> <specification> </ options> ;
ROCCONTRAST
<'label'> <contrast> </ options> ;
SCORE
<options> ;
SLICE
model-effect </ options> ;
STORE
<OUT=>item-store-name </ LABEL='label'> ;
STRATA
effects </ options> ;
<label:> TEST
equation1 <,equation2, …> </ option> ;
UNITS
<independent1=list1 <independent2=list2 …>> </ option> ;
WEIGHT
variable </ option> ;
The PROC LOGISTIC and MODEL statements are required. The CLASS and EFFECT statements (if specified) must precede the MODEL statement, and the CONTRAST, EXACT, and ROC statements (if specified) must follow the MODEL statement.
The PROC LOGISTIC, MODEL, and ROCCONTRAST statements can be specified at most once. If a FREQ or WEIGHT statement is specified more than once, the variable specified in the first instance is used. If a BY, OUTPUT, or UNITS statement is specified more than once, the last instance is used.
The rest of this section provides detailed syntax information for each of the preceding statements, beginning with the PROC LOGISTIC statement. The remaining statements are covered in alphabetical order. The CODE, EFFECT, EFFECTPLOT, ESTIMATE, LSMEANS, LSMESTIMATE, SLICE, and STORE statements are also available in many other procedures. Summary descriptions of functionality and syntax for these statements are provided, but you can find full documentation on them in the corresponding sections of Chapter 19: Shared Concepts and Topics.